fix(docs): correct broken markdown links in Module 2

- Fix chapter-11 README navigation links to use correct folder names
- Fix chapter-13 capstone references to use correct lesson filenames
- Fix Module 1 capstone link to Module 2 (was module-2-gazebo-unity)
- Update README Phase 2 status to COMPLETE (47 lessons delivered)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>

Author: mjunaidca

README.md

@@ -163,17 +163,20 @@ Signup → Hardware Survey → Personalized Content
 
 **Exit:** ✅ Live at `username.github.io/robolearn` with intelligence infrastructure + redesigned homepage
 
-### Phase 2: Content Generation (Hour 2-4) 🔄 IN PROGRESS
+### Phase 2: Content Generation (Hour 2-4) ✅ COMPLETE
 
 | Task | Deliverable | Status |
 |------|-------------|--------|
-| 2.1 | Plan Part Readmes | ⏳ |
-| 2.2 | Generate All Chapters in Part 1 | ⏳ |
-| 2.3 | Add Readme for chapter in other modules | ⏳ |
-| 2.4 | Create Mermaid/React Flow diagrams | ⏳ |
-| 2.5 | Add hardware-filtered sections | ⏳ |
+| 2.1 | Module 1: ROS 2 Foundations (7 chapters, 25 lessons) | ✅ |
+| 2.2 | Module 2: Gazebo/Unity Simulation (6 chapters, 22 lessons) | ✅ |
+| 2.3 | Module READMEs and chapter structure | ✅ |
+| 2.4 | 8 authoring skills created | ✅ |
 
-**Exit:** 4-6 polished lessons with diagrams and hardware variants
+**Exit:** ✅ 47 lessons across 2 modules with complete skill infrastructure
+
+**Extensions** (moved to Phase 4):
+- Create Mermaid/React Flow diagrams
+- Add hardware-filtered sections
 
 ### Phase 3: Auth + Profiles (Hour 4-5)
 
@@ -196,8 +199,10 @@ Signup → Hardware Survey → Personalized Content
 | 4.3 | Embedding pipeline (content → vectors) |
 | 4.4 | OpenAI Agents SDK config |
 | 4.5 | Deploy to Cloud Run |
+| 4.6 | Create Mermaid/React Flow diagrams (from Phase 2) |
+| 4.7 | Add hardware-filtered sections (from Phase 2) |
 
-**Exit:** RAG chatbot answering questions with book context
+**Exit:** RAG chatbot answering questions with book context + visual enhancements
 
 ### Phase 5: Chat UI (Hour 7-8)
 

history/prompts/004-module-2-simulation/0005-module-2-git-workflow-pr.green.prompt.md

@@ -0,0 +1,70 @@
+---
+id: "0005"
+title: "module-2-git-workflow-pr"
+stage: green
+date: 2025-11-29
+surface: claude-code
+model: claude-opus-4-5-20251101
+feature: 004-module-2-simulation
+branch: 004-module-2-simulation
+user: author
+command: /sp.git.commit_pr
+labels: [module-2, git, commit, pr, automation]
+links:
+  spec: specs/004-module-2-simulation/spec.md
+  ticket: null
+  adr: null
+  pr: https://github.com/mjunaidca/robolearn/pull/5
+files:
+  - path: 42 files (lessons, skills, specs, PHRs)
+    action: committed
+tests:
+  - name: git-push
+    result: PASS
+  - name: pr-creation
+    result: PASS
+---
+
+## Prompt
+
+/sp.git.commit_pr
+
+Autonomous git workflow to commit Module 2 implementation and create PR.
+
+## Response snapshot
+
+Executed autonomous git workflow:
+
+**Phase 1: Context Gathering**
+- Detected 42 changed files (1 modified, 41 new)
+- Current branch: `004-module-2-simulation`
+- No existing PR found
+
+**Phase 2: Analysis & Decision**
+- Strategy: Commit all changes, push to origin, create PR to main
+- Generated conventional commit message with full breakdown
+
+**Phase 3: Execution**
+```bash
+git add -A
+git commit -m "feat(content): complete module 2 Gazebo simulation - 22 lessons"
+git push -u origin 004-module-2-simulation
+gh pr create --title "..." --body "..."
+```
+
+**Result**: PR #5 created successfully
+
+## Outcome
+
+- ✅ Impact: Complete Module 2 committed and PR created - ready for review
+- 🧪 Tests: Git push PASS, PR creation PASS
+- 📁 Files: 42 files committed (~12,800 lines added)
+- 🔁 Next prompts: Review and merge PR #5
+- 🧠 Reflection: Autonomous git agent executed full workflow without human intervention
+
+## Evaluation notes (flywheel)
+
+- Failure modes observed: None - clean execution
+- Graders run and results (PASS/FAIL): Push PASS, PR PASS
+- Prompt variant (if applicable): N/A
+- Next experiment (smallest change to try): Consider adding automated checks before commit (build, lint)

robolearn-interface/docs/module-1-ros2/chapter-7-capstone/03-testing-validation.md

@@ -578,4 +578,4 @@ But the foundational skills you've learned—communication patterns, system arch
 
 ---
 
-**Next**: [Module 2: Building Robot Worlds with Gazebo →](../../module-2-gazebo-unity/README.md)
+**Next**: [Module 2: Building Robot Worlds with Gazebo →](../../module-2-simulation/README.md)

robolearn-interface/docs/module-2-simulation/chapter-11-sensors-simulation/README.md

@@ -176,9 +176,9 @@ When adding any sensor to your robot:
 
 ## Navigation
 
-**Previous Chapter**: [← Chapter 10: Gazebo World Design](../chapter-10-gazebo-worlds/README.md)
+**Previous Chapter**: [← Chapter 10: Building Simulation Worlds](../chapter-10-simulation-worlds/README.md)
 
-**Next Chapter**: [Chapter 12: Advanced Simulation →](../chapter-12-advanced-simulation/README.md)
+**Next Chapter**: [Chapter 12: ROS 2 + Gazebo Integration →](../chapter-12-ros2-gazebo-integration/README.md)
 
 **Module Overview**: [← Back to Module 2](../README.md)
 

robolearn-interface/docs/module-2-simulation/chapter-13-capstone/02-building-simulation.md

@@ -65,7 +65,7 @@ Use the `urdf-robot-model` skill from Chapter 9. Your URDF should include:
 - Physical properties (mass, inertia—estimate based on size)
 - Sensor plugins (camera, LIDAR, IMU) matching your specification
 
-**Reference**: [Chapter 9.4 URDF with AI](../chapter-9-robot-description/04-urdf-ai.md) for how to work with AI on URDF generation.
+**Reference**: [Chapter 9.4 URDF with AI](../chapter-9-robot-description/04-urdf-with-ai.md) for how to work with AI on URDF generation.
 
 **Your URDF should**:
 - Load without errors in Gazebo (`gz sim robot.urdf`)
@@ -98,7 +98,7 @@ Use the `gazebo-world-builder` skill from Chapter 10. Your world should include:
 - Initial spawn location for your robot
 - Goal locations (marked with visual indicators)
 
-**Reference**: [Chapter 10.4 World Building with AI](../chapter-10-simulation-worlds/04-world-ai.md) for how to work with AI on SDF generation.
+**Reference**: [Chapter 10.4 World Building with AI](../chapter-10-simulation-worlds/04-world-building-with-ai.md) for how to work with AI on SDF generation.
 
 **Your world should**:
 - Load without physics errors (`gz sim world.sdf`)